Abstract
Data cleansing is the most important step for data preparation which is required for smarter analysis of structured data for business intelligence applications. However, the potential size to which such data will scale in future will make solutions that revolve around information systems hard to scale. Therefore, there is often a transient need within enterprises for data cleansing which can be satisfied by offering data cleansing as a transient service. Every time a data cleansing need arises it should be possible to provision hardware, software and staff for accomplishing the task and then dismantling the set up. We present such a system that uses virtualized hardware and software for data cleansing. We share actual experiences gained from building such a system. We use a cloud infrastructure to offer virtualized data cleansing instances that can be accessed as services. We build a system that is scalable, elastic and configurable. Each enterprise has unique needs. It is necessary to customize both the infrastructure and the cleansing algorithms to address these needs.

Biography
Mukesh Mohania received his Ph.D. in Computer Science & Engineering from Indian Institute of Technology, Bombay, India in 1995. He was a faculty member in University of South Australia from 1996-2001. Currently, he is an STSM and IBM Master Inventor and is leading Information Management Software and Research group. He has worked extensively in the areas of distributed databases, data warehousing, data integration, and autonomic computing. He has published more than 100 papers and also filed more than 30 patents in these or related areas. He received the best paper award for his XML and data integration work in CIKM 2004 and CIKM 2005, respectively. He received an award from IBM Tivoli Software in 2004 for his research contribution to Policy Management for Autonomic Computing product. He was also a recipient of the "Excellence in People Management" award in IBM India in 2007. He received the “Outstanding Innovation Award” from IBM Corporation in 2008 for his Context-Oriented Information Integration work, and Technical Accomplishment Award in 2009 for his Policy work. He is an IEEE and ACM Distinguished Speaker.

Abstract
Many existing healthcare information systems are composed of a number of heterogeneous systems and face the important issue of system scalability. We describe the comprehensive healthcare information systems used in National Taiwan University Hospital (NTUH) and then present a new service-oriented architecture (SOA)-based healthcare information system (HIS) using HL7 standard. The proposed architecture focuses on system scalability, in terms of both hardware and software. Moreover, we describe how scalability is implemented in rightsizing, service groups, databases, and hardware. The scalability of the rightsizing project and our evaluation results show that SOA can provide system scalability and sustainability in a highly demanding healthcare information system.

Biography
Feipei Lai received a B.S.E.E. degree from National Taiwan University in 1980, and M.S. and Ph.D. degrees in computer science from the University of Illinois at Urbana-Champaign in 1984 and 1987, respectively. He is a professor in the Graduate Institute of Biomedical Electronics and Bioinformatics, the Department of Computer Science & Information Engineering and the Department of Electrical Engineering at National Taiwan University. He was a vice superintendent of National Taiwan University Hospital. He was the chairman of Taiwan Network Information Center. He was a visiting professor in the Department of Computer Science and Engineering at the University of Minnesota, Minneapolis, USA. He was also a guest Professor at University of Dortmund, Germany and a visiting senior computer system engineer in the Center for Supercomputing Research and Development at the University of Illinois at Urbana-Champaign. Prof. Lai is one of the founders of the Institute of Information & Computing Machinery. He is also a member of Phi Kappa Phi, Phi Tau Phi, Chinese Institute of Engineers. Prof. Lai was the chairman of Taiwan Internet Content Rating Foundation. He received the Taiwan Fuji Xerox Research Award in 1991, K-T Li’s Breaking-through Award in 2008 and IBM faculty Award, NTU Distinguished Service Award in 2009, and Taiwan 2010 Award for Outstanding IT professionals.

Abstract
Location-based services feature prominently in many digital ecosystem designs. In this paper we present the design of a mobility digital ecosystem for public transportation services in a campus area network. We describe four context-aware applications that encourage users to disclose their location: a public transport passenger tracking application; a route-based car-pooling application; an on-campus location-based social networking “assistant” and a virtual art-gallery guided tour. The location-based service applications offered are intended to encourage users to participate in a digital ecosystem and in so doing share data about their location. This location data can be used to provide value-added services to the users and optimize overall system behavior. In this talk, I present the architectures of these four applications and address issues concerning privacy, location-identity and uniform standards developed by the Internet Engineering Task Force (IETF). Our applications provide environments that encourage individual interaction and engagement that are self-regulating and self-evolving: key characteristics of a digital ecosystem.

Biography
Prof. Peter Eklund was educated in Mathematics in Australia as an undergraduate, the UK as a research masters student and earned a PhD from Linköping University in Sweden. Peter was a postdoc in Japan before establishing an academic career in Australia. Peter is Professor of Information Systems and Technology and Director of the Centre for Digital Ecosystems at the University of Wollongong. His Centre is part of the A$65M flagship National Research and Teaching SMART Infrastructure Facility at the University of Wollongong. Peter is the lead researcher in the Connected Mobility Digital Ecosystem project, a project supported by CSIRO’s National ICT Centre that aims to location-enabled Smart Services on the University of Wollongong’s main campus. Peter has held chairs in Computer Science at the University of Queensland, Information Technology at Griffith University, and Information Systems at Wollongong. He teaches knowledge and information design, .NET programming, databases, systems analysis and information systems management subjects. Peter is an elected Fellow of the Australian Computer Society.

Abstract
The notion of SOA has evolved towards encompassing enterprises of different sizes (big and small) to efficiently and constantly collaborate in order to, for instance, form extended enterprises ranging from outsourcing partners to mergers/acquisitions, ranging from vertical supply chain integration to dynamic alliances. A consequence of this is that the notion of services has been broadened to also include a wide spectrum of resources that incorporate heterogeneous data. The recent growth of Web-based development technology combined with the emergence of Resource-Oriented Architecture supported by the Representational State Transfer (REST) architectural style of Web services has provided a new opportunity for researchers and practitioners in the field of SOA. The objective of this tutorial is thus to provide audiences with an understanding of the notion of Web-based resources and RESTful services, which constitutes a lightweight application together with a situation-based service composition method, namely Service Mashup. Service mashup enables rapid development and testing, leading to a modelling of service composites that are much closer to a specific problem domain within a compressed time frame, providing agility.

Abstract
Cloud computing has numerous promises. In this tutorial, we first an overview of Cloud. We then discuss three related computing paradigms - Service-Oriented Computing, Grid Computing and High Performance Computing (HPC), and their relationships with Cloud computing. We identify several challenges from the Cloud computing adoption perspective. Last, we highlight two issues - Cloud Fault-Tolerance and Cloud interoperability that deserves substantial further research and development.